Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than ...
We rewrite the unitary linear transformation of basis set using wedge exterior notation, which can then be easily extended to the non-unitary case. 2. A quantum circuit is proposed for non-unitary ...
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